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Accelerating Image Analysis with TruAI™ Deep Learning Technology

Hardware development in microscopy has enabled scientists to collect more and more image data in a very efficient and automated way. But to gain quantitative information of this data, images need to be analyzed in a robust way.

Image segmentation and classification lies at the heart of image analysis. The better the scientist can segment and classify objects of interest in their images, the better quantitative information they can gain, improving the quality of the results.

In 2019 Olympus launched TruAI technology, an image analysis approach based on deep neural networks with a focus in segmentation and classification. TruAI technology makes segmentation and classification easy and accessible by non-experts, even in the most difficult scenarios, like in low contrast brightfield images, low signal-to-noise fluorescence images, or in situations of highly dense cell confluency. When installed in the microscope that is acquiring the images, it speeds up the research as soon as analysis results can be available, shortly after the acquisition has concluded, or even at the same time as the acquisition.

In this tech talk, through a collection of examples measured with our live cell imaging systems, high-content screening station, and whole slide scanner, you will see what TruAI technology can do for your research and get a preview of what is coming next.

Presenter: Manoel Veiga, PhD
Application Specialist, Olympus Soft Imaging Solutions

Manoel Veiga earned his PhD in Physical Chemistry in the University Santiago de Compostela, Spain. Following two postdocs in the Universities Complutense of Madrid and WWU Münster, he joined PicoQuant GmbH. After five years supporting customers worldwide in the fields of FLIM and time-resolved spectroscopy, he joined Olympus Soft Imaging Solutions GmbH in 2017, where he works as Global Application Specialist with a focus on high-content analysis and deep learning.


相关产品

成像软件

cellSens

cellSens软件的用户界面可自定义,提供直观的操作和流畅无缝的工作流程,让您可以控制布局。cellSens软件具有一系列软件包,可提供各种针对您的具体成像需求进行了优化的功能。它的图形化试验管理器和孔导航器功能简化了5D图像采集。通过TruSight反卷积实现更高的分辨率,并使用会议模式共享图像。

  • 通过TruAI深度学习分割分析提高实验效率,从而提供非标记细胞核检测和细胞计数
  • 模块化成像软件平台
  • 直观的应用驱动型用户界面
  • 从简单的捕获到高级多维实时实验的大范围功能集

Accelerating Image Analysis with TruAI™ Deep Learning Technology

Hardware development in microscopy has enabled scientists to collect more and more image data in a very efficient and automated way. But to gain quantitative information of this data, images need to be analyzed in a robust way.

Image segmentation and classification lies at the heart of image analysis. The better the scientist can segment and classify objects of interest in their images, the better quantitative information they can gain, improving the quality of the results.

In 2019 Olympus launched TruAI technology, an image analysis approach based on deep neural networks with a focus in segmentation and classification. TruAI technology makes segmentation and classification easy and accessible by non-experts, even in the most difficult scenarios, like in low contrast brightfield images, low signal-to-noise fluorescence images, or in situations of highly dense cell confluency. When installed in the microscope that is acquiring the images, it speeds up the research as soon as analysis results can be available, shortly after the acquisition has concluded, or even at the same time as the acquisition.

In this tech talk, through a collection of examples measured with our live cell imaging systems, high-content screening station, and whole slide scanner, you will see what TruAI technology can do for your research and get a preview of what is coming next.

Presenter: Manoel Veiga, PhD
Application Specialist, Olympus Soft Imaging Solutions

Manoel Veiga earned his PhD in Physical Chemistry in the University Santiago de Compostela, Spain. Following two postdocs in the Universities Complutense of Madrid and WWU Münster, he joined PicoQuant GmbH. After five years supporting customers worldwide in the fields of FLIM and time-resolved spectroscopy, he joined Olympus Soft Imaging Solutions GmbH in 2017, where he works as Global Application Specialist with a focus on high-content analysis and deep learning.


相关产品

成像软件

cellSens

cellSens软件的用户界面可自定义,提供直观的操作和流畅无缝的工作流程,让您可以控制布局。cellSens软件具有一系列软件包,可提供各种针对您的具体成像需求进行了优化的功能。它的图形化试验管理器和孔导航器功能简化了5D图像采集。通过TruSight反卷积实现更高的分辨率,并使用会议模式共享图像。

  • 通过TruAI深度学习分割分析提高实验效率,从而提供非标记细胞核检测和细胞计数
  • 模块化成像软件平台
  • 直观的应用驱动型用户界面
  • 从简单的捕获到高级多维实时实验的大范围功能集
Experts
Manoel Veiga
生命科学研究应用专家
Olympus Soft Imaging Solutions

大家好。我叫Manoel Veiga,是奥林巴斯软件深度学习实施团队成员。我于2017年加入奥林巴斯,拥有高内涵筛选、图像分析和深度学习领域的专业知识。我还是荧光寿命成像的专家。

在攻读物理化学博士学位期间,我开始对数据分析产生兴趣,在了解到卷积神经网络的强大功能及其所能完成难以置信的图像分析任务之后,更加加深了我对这一领域的兴趣。

Accelerating Image Analysis with TruAI™ Deep Learning Technology2024年3月29日
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